こんにちは。 現役エンジニアの”はやぶさ”@Cpp_Learningです。仕事でもプライベートでも機械学習で色々やってます。 今回はGraph Neural Network(以下 GNN)について勉強したので、備忘録も兼ねて本記事を書きます。
![PyTorch GeometricでGraph Neural Network(GNN)入門|はやぶさの技術ノート](https://cdn-ak-scissors.b.st-hatena.com/image/square/47445497626e0942e7b0e66132d749e26566814b/height=288;version=1;width=512/https%3A%2F%2Fcpp-learning.com%2Fwp-content%2Fuploads%2F2020%2F04%2FGraph.jpg)
Install PyG Installation Get Started Introduction by Example Colab Notebooks and Video Tutorials Tutorials Design of Graph Neural Networks Working with Graph Datasets Use-Cases & Applications Multi-GPU Training Advanced Concepts Advanced Mini-Batching Memory-Efficient Aggregations Hierarchical Neighborhood Sampling Compiled Graph Neural Networks TorchScript Support Scaling Up GNNs via Remote Backe
This is a library containing pyTorch code for creating graph neural network (GNN) models. The library provides some sample implementations. If you are interested in using this library, please read about its architecture and how to define GNN models or follow this tutorial. Note that ptgnn takes care of defining the whole pipeline, including data wrangling tasks, such as data loading and tensorizat
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